Metode Haar-Cascade Classification Menggunakan Raspberry Pi

AgPi: Agents on Raspberry Pi

The Raspberry Pi and its variants have brought with them an aura of change in the world of embedded systems. With their impressive computation and communication capabilities and low footprint, these devices have thrown open the possibility of realizing a network of things in a very cost-effective manner. While such networks offer good solutions to prominent issues, they are indeed a long way fr...

Penambahan emosi menggunakan metode manipulasi prosodi untuk sistem text to speech bahasa Indonesia

Abstrak—Text To Speech (TTS) merupakan suatu sistem yang dapat mengonversi teks dalam format suatu bahasa menjadi ucapan sesuai dengan pembacaan teks dalam bahasa yang digunakan. Fokus penelitian yaitu suatu konsep pengucapan natural, dengan usaha “memanusiakan” pelafalan sintesa suara sistem Text To Speech yang dihasilkan. Kebutuhan utama yang digunakan untuk sistem Text To Speech dalam peneli...

Easy as Pi: A Network Coding Raspberry Pi Testbed

In the near future, upcoming communications and storage networks are expected to tolerate major difficulties produced by huge amounts of data being generated from the Internet of Things (IoT). For these types of networks, strategies and mechanisms based on network coding have appeared as an alternative to overcome these difficulties in a holistic manner, e.g., without sacrificing the benefit of...

Bluetooth Implementation on a Raspberry Pi Student :

Face recognition system on Raspberry Pi

An embedded face recognition system based on the Raspberry Pi single-board computer is proposed in this paper. Face recognition system consists of face detection and face localization using Haar feature-based cascade classifier. Face features are extracted using weighted Local Binary Pattern algorithm. Developed system performs one full face analysis in 110 ms. Comparison of two biometric sampl...